MarshMcLennan

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"><html><body> Job title Director, Data Engineering & AnalyticsOverview Oliver Wyman Technology is seeking an experienced, hands‑on Director of Data Engineering & Analytics to lead and scale our enterprise data platform and analytics capability. This role combines strategic ownership with technical leadership: you will grow and mentor a multi‑disciplinary team (data engineers, analytics engineers and data scientists) and deliver production‑grade data platforms, analytics products and AI/ML solutions that generate measurable business value for the firm and our clients. The ideal candidate has deep, practical experience with Databricks and AWS and a proven track record of productionising data and ML systems at scale. Responsibilities<ul><li>Lead, hire and mentor a high‑performing team; set priorities, delivery cadence and engineering standards to scale the capability.</li><li>Own the roadmap and delivery of enterprise data platforms and analytics products, including data lakes/warehouses, ETL/ELT, streaming and data APIs.</li><li>Provide hands‑on technical leadership: design and review architecture, implement or optimise key components, and resolve production incidents as required.</li><li>Drive adoption of Databricks best practice (Spark optimisation, Delta Lake, Unity Catalog) and core cloud platform patterns.</li><li>Productionise AI/ML: guide feature engineering, model deployment, monitoring, versioning, explainability and MLOps workflows.</li><li>Establish and enforce CI/CD, automated testing, observability and incident response for data pipelines, models and analytics services.</li><li>Define and enforce data governance, security, privacy and compliance standards in partnership with legal and security teams.</li><li>Partner with business leaders, product managers and consulting teams to translate business problems into scalable data and AI solutions; manage stakeholder expectations and prioritisation.</li><li>Manage vendor relationships and platform budgets; evaluate and procure third‑party tools where appropriate.</li><li>Foster a culture of data literacy, experimentation, inclusivity and continuous improvement.</li></ul> Must have skills and qualifications<ul><li>Degree in Computer Science, Engineering, Data Science, Statistics or equivalent practical experience.</li><li>10+ years designing and delivering data platforms or large‑scale data systems; 5+ years managing engineering teams and senior technical leaders.</li><li>Proven experience delivering end‑to‑end cloud data platform transformations at enterprise scale.</li><li>Hands‑on Databricks experience (Spark optimisation, Delta Lake, workspace/job orchestration, Unity Catalog) at scale.</li><li>Strong practical experience building and operating data solutions on AWS (e.g., S3, Glue, Redshift/Athena, Lambda, EKS/ECS; infrastructure as code such as CloudFormation or Terraform).</li><li>Solid understanding of AI/ML production patterns, including model development, deployment, monitoring, drift detection and MLOps.</li><li>Strong software and data engineering skills: Python and SQL required; Scala/Java advantageous. Experience with Spark, data modelling, ETL/ELT and streaming fundamentals.</li><li>Experience implementing CI/CD, container orchestration and observability for data systems.</li><li>Knowledge of data governance, metadata/catalogue tools, lineage and data quality frameworks (i.e. Great Expectations or equivalent).</li><li>Strong grasp of security, data privacy and regulatory requirements (e.g., GDPR, data residency).</li><li>Professional certification such as Databricks or AWS (Solutions Architect / Specialty).</li></ul> Nice to have<ul><li>Consulting or client‑facing delivery experience.</li><li>Experience with streaming platforms (Kafka, Pub/Sub, Kinesis) and real‑time architectures.</li><li>Familiarity with generative AI, LLMs and conversational AI production patterns.</li><li>Exposure to other cloud providers (Azure/GCP) or hybrid cloud architectures.</li></ul> Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. </body></html>

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